In continual learning, we often split the data stream into subparts we call tasks. The task are usually, but not necessary, subsets where the data distribution can be assumed i.i.d.. In this case, a task change when the data distribution change. It is important to note that the task are defined empirically for learning convenience.
A task label is associated to each task and informs the learning algorithm about the task evolution [1]}.
We distinguish two kind of tasks labels:
